Austin, TX, United States of America

Mandeep Singh

This inventor holds 1 USPTO granted patent. Top assignee: Advanced Micro Devices Corporation. Active years: 2013.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mandeep Singh. Retrieved from https://idiyas.com/inventor/mandeep-singh-kmsoy4nj

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Mandeep Singh: Innovator in Dynamic Memory Technology

Introduction

Mandeep Singh is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of memory technology, particularly with his innovative patent related to content addressable memory.

Latest Patents

Mandeep Singh holds a patent for a conditionally precharged dynamic content addressable memory. This technology includes a mechanism that forces a mismatch on a matchline of the CAM if a data entry in the CAM is invalid. The matchline is precharged only if the data entry is valid, enhancing the efficiency and reliability of memory operations.

Career Highlights

Mandeep Singh is currently employed at Advanced Micro Devices Corporation, a leading company in the semiconductor industry. His work focuses on advancing memory technologies that are crucial for modern computing systems.

Collaborations

Mandeep has collaborated with talented individuals such as David Hugh McIntyre and Hung Phuong Ngo, contributing to innovative projects within his field.

Conclusion

Mandeep Singh's contributions to dynamic memory technology exemplify the impact of innovative thinking in the tech industry. His patent and work at Advanced Micro Devices Corporation highlight his role as a key player in advancing memory solutions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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